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Pedro José Pereira

Observed names: Pedro J. Pereira, Pedro Pereira, Pereira, Pedro Jose, Pereira, Pedro José
ORCID: 0000-0002-6169-8778
Observed ORCID: 0000-0002-6169-8778
OpenAlex ID: A5101632511
Multi-objective Grammatical Evolution of Decision Trees for Mobile Marketing user conversion prediction
2020 · Pedro José Pereira, Paulo Cortez, et al. · Expert Systems with Applications · 49
Deep autoencoders for acoustic anomaly detection: experiments with working machine and in-vehicle audio
2022 · Gabriel Coelho, Luís Miguel Matos, et al. · Neural Computing and Applications · 30
Deep Dense and Convolutional Autoencoders for Unsupervised Anomaly Detection in Machine Condition Sounds
2020 · Ribeiro, Alexandrine, Matos, Luis Miguel, et al. · arXiv (Cornell University) · 27
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Using Deep Autoencoders for In-vehicle Audio Anomaly Detection
2021 · Pedro José Pereira, Gabriel Coelho, et al. · Procedia Computer Science · 22
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Multi-step time series prediction intervals using neuroevolution
2019 · Paulo Cortez, Pedro José Pereira, et al. · Neural Computing and Applications · 20
Forecasting Store Foot Traffic Using Facial Recognition, Time Series and Support Vector Machines
2016 · Paulo Cortez, Luís Miguel Matos, et al. · Advances in intelligent systems and computing · 17
Deep Dense and Convolutional Autoencoders for Machine Acoustic Anomaly Detection
2021 · Gabriel Coelho, Pedro Pereira, et al. · IFIP advances in information and communication technology · 11
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A Comparison of Automated Time Series Forecasting Tools for Smart Cities
2022 · Pedro José Pereira, Nuno Costa, et al. · Lecture notes in computer science · 7
A Categorical Clustering of Publishers for Mobile Performance Marketing
2018 · Susana Silva, Paulo Cortez, et al. · Advances in intelligent systems and computing · 7
A Comparison of Machine Learning Methods for Extremely Unbalanced Industrial Quality Data
2021 · Pedro José Pereira, Adriana Pereira, et al. · Lecture notes in computer science · 6
Multi-objective Learning of Neural Network Time Series Prediction Intervals
2017 · Pedro José Pereira, Paulo Cortez, et al. · Lecture notes in computer science · 5
AI4CITY - An Automated Machine Learning Platform for Smart Cities
2023 · Pedro José Pereira, Carlos Gonçalves, et al. · ACM Symposium on Applied Computing · 4
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An Intelligent Decision Support System for Production Planning in Garments Industry
2021 · Rui Ribeiro, André Pilastri, et al. · Lecture notes in computer science · 4
A Dijkstra Seeded Evolutionary Multiobjective Optimization System for a Sustainable User Multimodal Transport Routing
2025 · Guilherme Barbosa, Pedro Pereira, et al. · Genetic and Evolutionary Computation Conference (GECCO) · 3
Predicting Multiple Domain Queue Waiting Time via Machine Learning
2023 · Carolina Loureiro, Pedro José Pereira, et al. · Lecture notes in computer science · 3
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A Comparison of Automated Machine Learning Tools for Predicting Energy Building Consumption in Smart Cities
2023 · Daniela Soares, Pedro José Pereira, et al. · Lecture notes in computer science · 3
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ARGUS: A Large Language Model Reasoning System for Machine Learning Task Identification
2026 · Carlos Gonçalves, Pedro Pereira, et al. · ACM Symposium on Applied Computing · 2
Comparison of Different Deployment Approaches of FPGA-Based Hardware Accelerator for 3D Object Detection Models
2022 · Pedro Pereira, António Linhares Silva, et al. · Lecture notes in computer science · 2
Using Neuroevolution for Predicting Mobile Marketing Conversion
2019 · Pedro José Pereira, Pedro Pinto, et al. · Lecture notes in computer science · 2
Dijkstra-assisted evolutionary multiobjective optimization for a sustainable user urban multimodal transport routing
2026 · Guilherme Barbosa, Pedro José Pereira, et al. · Swarm and Evolutionary Computation
Evolutionary Prompting: Automating Large Language Model Queries for Machine Learning Task Identification using Grammatical Evolution
2026 · Carlos Gonçalves, Pedro Pereira, et al. · IEEE Congress on Evolutionary Computation (CEC)
An eXtended Genetic Algorithm with Heuristics for the Flexible Job Shop Scheduling Problem
2026 · Raul Pinto, Pedro José Pereira, et al. · IEEE Congress on Evolutionary Computation (CEC)
Multi-Objective Genetic Algorithm Approaches for Rebalancing Bike-sharing Networks
2026 · Mariana Carneiro, Pedro J. Pereira, et al. · Procedia Computer Science
A Data Drift Approach to Update Deployed Energy Prediction Machine Learning Models
2024 · Hélder Teixeira, Arthur Matta, et al. · Lecture notes in computer science
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A Benchmark of Automated Multivariate Time Series Forecasting Tools for Smart Cities
2024 · Pedro José Pereira, Nuno Costa, et al. · Lecture notes in computer science
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Works count: 26
Citation count: 224
H-index: 7
I10-index: 7
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